Model for Creating an Adaptive Individual Learning Path for Training Digital Transformation Professionals and Big Data Engineers Using Virtual Computer Lab

The paper formulates key aspects of a strategy for training highly qualified and in-demand IT professionals in the fields of advanced analytics and Big Data processing for solving the most urgent problems of digital transformation and data-driven business. It analyzes the problems of modern distance education (e-learning) and ways to overcome them with the use of an innovative training data center based on the principles of self-organization and cybernetics 2.0. The model presented is designed to help in the creation of individual educational trajectories and knowledge management. It is based on fuzzy logic and makes it possible to automate control of the educational process, with consideration for different mentalities and capabilities, while reducing the work of the teacher.